Senior Data Engineer (m/f/d)

Join the journey with us at RWE Renewables, where your work in our Data Products team drives the global shift towards sustainable energy. In this crucial role, you're not just working on data solutions; you're contributing to a sustainable future, shaping innovative paths for renewable energy and making a tangible impact on our planet. Be a part of our mission to lead the energy revolution, where every project you touch helps forge a cleaner, greener world.

Responsibilities

• Create the design and implementation of a cutting-edge data environment, utilizing the Azure tool stack, Databricks, and other appropriate technologies to set new standards in data management and analytics.
• Develop and maintain robust data pipelines to harmonize, optimize, and ensure the reusability of data across the organization, driving efficiency and innovation.
• Work collaboratively with a skilled team to explore and integrate modern data technologies and methodologies, contributing to the establishment of a state-of-the-art data framework.
• Ensure agile practices are integral to our development and deployment of data solutions, making our processes adaptable, swift, and resulting in top-notch outcomes..
• Serve as a subject matter expert in data architecture and engineering, providing guidance and support to the organization, fostering a culture of data-driven decision-making and continuous learning.
• This role is not just about building a data environment; it's about laying the foundation for our company's future, enabling us to lead the way in renewable energy through innovative data utilization and management.

Qualifications

• A completed university degree in computer science, engineering, physics, mathematics, or a related field.
• 5+ years of experience working within a data environment, with a strong emphasis on Azure tool stack. This should include hands-on experience in architecting, developing, and managing data solutions.
• Practical experience with Databricks, showcasing your ability to leverage such tools for data processing and analytics.
• A deep understanding of best practices in data management, including data harmonization, storage, and distribution. This includes knowledge of data quality, data integration, and data security principles.
• A track record of successfully working in data-related roles, with a preference for those who have led projects or teams focusing on the creation and management of data environments.
• Familiarity with database technologies, data warehousing, and data modeling, underpinned by practical experience in relational databases and data analysis.
• Strong analytical skills and the ability to quickly comprehend complex issues, demonstrating an independent, proactive approach to problem-solving.
• The ability to articulate complex data concepts in a clear and understandable manner.
• Proficiency in English is required; knowledge of German or other languages is a plus.